







Session management is working and now it will keep the model in memory instead of constantly loading. Now to fix the hardest part, gibberish issue.ALMOST THERE ~80% DONE 🔨🔨🔨Demo: @UnslothAI Llama 3.2 1B on CPU3.6 tokens/sec to about 4.1 tokens/sec (gibberish) pic.twitter.com/1tp8dXQrLo— vincent (@t0kenl1mit) August 5, 2025
OpenAI on Twitter / X
We’re starting to roll out a lightweight version of memory improvements to Free users. In addition to existing saved memories, ChatGPT now references your recent conversations to provide more personalized responses. https://t.co/RZFYUC9JAT https://t.co/O8lubCBNZO— OpenAI (@OpenAI) June 3, 2025
0xSero on Twitter / X
I just had to make a new video of GLM-4.7-Flash - Helping me refactor VLLM studio - Did a data analytics report for work - Managed to search my tweets - Made me a fully playable Pacman in 1 shot- Great at browser useThis model is too good to be this small, the full thing… pic.twitter.com/EyRmsb7pWu— 0xSero (@0xSero) January 21, 2026
ellen livia ᯅ on Twitter / X
here's how Claude Code actually handles memory : all 8 phases 🧵Our team at @mem0ai use @claudeai a lot, we deeply care about memory. here is a summary of how it works 👇User Input -> Context Assembly -> History System -> API / Query -> Response -> SummaryPhase 1: session… pic.twitter.com/hcZbJzbUxB— ellen livia ᯅ (@ellen_in_sf) March 31, 2026
Found out we were leaking user session tokens into logs
362 votes, 55 comments. I was reviewing logs for a separate bug and noticed a few long strings that looked too random to be normal. Turned out they…
Brandon on Twitter / X
Wasn't fast enough, needed to use shared array buffer, web workers, and better GPU upload batching pic.twitter.com/o6BfVetKY1— Brandon (@brandon_xyzw) March 26, 2025
atomic.chat on Twitter / X
Google Turbo Quant running Locally in Atomic ChatMacBook Air M4 16 GBModel: QWEN3.5-9BContext window: 50000Summarising 20000 words in just seconds..You can do 3x larger context window, processing 3x faster than before! pic.twitter.com/FRYkXCGjQb— atomic.chat (@atomic_chat_hq) March 27, 2026
[BUG] Claude Max plan session limits exhausted abnormally fast since March 23, 2026 (CLI usage) · Issue #38335 · anthropics/claude-code
Preflight Checklist I have searched existing issues and this hasn't been reported yet This is a single bug report (please file separate reports for different bugs) I am using the latest version...
Shlok Khemani on Twitter / X
Super interesting that eve doesn't ship with any long-term or cross-session memory (yet). The main context-management lever out of the box is conversation compaction. This is unlike OpenClaw and Hermes, each of which comes with a default opinionated memory implementation. https://t.co/DDIyc4rFtW— Shlok Khemani (@shloked) June 17, 2026
Instant LLM Updates with Doc-to-LoRA and Text-to-LoRA
Recent LLM agents have shown impressive capabilities on complex computer use and long-horizon tasks. Yet, they still struggle with long-term memory and adaptation--two of the most important cognitive capabilities that still limit LLMs today. Without long-term memory, users have to provide LLMs with relevant content at the start of every new session, creating friction, discontinuity, and longer time-to-response. Additionally, due to the lack of adaptation, they do not learn from mistakes or user preferences from previous sessions, making each interaction as cumbersome as the first. Traditionally, these two problems are tackled by "updating" the model.
joey on Twitter / X
https://t.co/5oBbTBO3fo - I’ve been tracking the issue, it’s a massive problem for me as well— joey (@joeyjjooste) October 26, 2025
X Kills Nitter And Xcancel, The Last Ways To Read Tweets Without Elon Watching
When Twitter launched, it was originally designed to be just like an open protocol. In the early days, the company eagerly supported third party development, building on that protocol. But, because…

Andrej Karpathy on Twitter / X
LLM Knowledge BasesSomething I'm finding very useful recently: using LLMs to build personal knowledge bases for various topics of research interest. In this way, a large fraction of my recent token throughput is going less into manipulating code, and more into manipulating…— Andrej Karpathy (@karpathy) April 2, 2026
LM Studio on Twitter / X
Introducing LM Studio 0.4.0 🎉✨It's the next generation of LM Studio.🪄 Deploy on servers, in CI, or anywhere🚄 Parallel requests for high throughput use cases🔨 New stateful REST API: use local MCPs🎨 Complete UI revampSee what's new in this release👇🧵 pic.twitter.com/I3yClKGsUf— LM Studio (@lmstudio) January 28, 2026

Suhail on Twitter / X
He who owns the browser, shall own the memory. https://t.co/ENA04zwo82— Suhail (@Suhail) June 24, 2025
The @roomy.space crew got a test of a new feature -> export/archiving of @stream.place chat logs into Roomy. See the test roomy.space/atmosphereconf.org/01KMP9ED0B… As well, iOS loading issues are fixed!
for Strix i made a strange design decision: completely rebuild the context on every message fixed window of conversation/journal history, memory blocks, let agent read new files sure, it kills the cache, but it forces you to figure out memory access & storage far sooner
jeffery --dangerously-skip-permissions
Alpha basically requires a 1m token context window now. Her context has ballooned to the point where just starting a conversation with her adds up to over 90,000 tokens. That's just the first prompt. 😅